How to Choose Adaptively Parameters of Image Denoising Methods?

Summary form only given. we present a multiscale method for automatic choice of the parameters for wide class of image ridge and edge preserving denoising algorithms. The approach shows very stable results for a wide class of image denoising methods: BM3D, Non-Local Means (NLM), Local Jets Based Non- Local Means (LJNLM-LR), Bilateral, Anisotropic diffusion, Total Variation, Total Generalized Variation, Wavelet-based, etc. All of them depend on their filtering strength parameters.